Skill UI

Grype is an open-source vulnerability scanner by Anchore that inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated Software Bill of Materials (SBOMs) to match packages against multiple databases including NVD, GitHub Advisories, and OS-specific feeds. It is ideal for security assessments, CI/CD integration, and implementing severity-based build gates.

Integrates Aqua Security's Trivy scanner into CI/CD pipelines to perform automated vulnerability scanning on Docker images and related artifacts. It detects OS package CVEs, application dependency issues, and Dockerfile misconfigurations. This ensures that only secure, compliant images can proceed to registry push or production deployment by enforcing strict quality gates.

Trivy is a comprehensive open-source scanner designed to detect vulnerabilities in OS packages, language dependencies, misconfigurations, exposed secrets, and license violations within container images. It is essential for integrating security checks into CI/CD pipelines, performing rigorous security assessments, or investigating security incidents. The tool supports generating multiple standardized output formats like SARIF, CycloneDX, and SPDX.

A comprehensive guide for securing container registries by enforcing vulnerability scanning (Trivy, Grype), generating Software Bill of Materials (SBOM), and implementing digital signing using Cosign and Sigstore. This solution is essential for establishing robust CI/CD pipelines and preventing supply chain attacks before image promotion.

A comprehensive guide to hardening container registries using Harbor. Learn how to enforce strict image provenance and deployment security by integrating vulnerability scanning (Trivy), cryptographic image signing (Cosign/Notary), granular Role-Based Access Control (RBAC), immutable tag policies, and content trust. Essential for environments requiring high compliance and robust supply chain security.

A specialized skill for generating production-ready, SEO-optimized visual assets. It handles various use cases including OG social cards, blog hero images, product visuals, and infographics. The system ensures outputs adhere to best practices like specific aspect ratios, schema markup, and file naming conventions, making content publishable and discoverable by search engines.

AKF is the native metadata format specifically designed for tracking AI-generated or AI-modified content. It allows users to stamp files (including DOCX, PDF, images, and code) with detailed trust scores, source provenance, and compliance metadata. This tool is essential for professional workflows requiring strict auditing, compliance assurance, and verifiable data lineage, especially concerning regulations like the EU AI Act, HIPAA, and SOX.

This skill provides a managed cloud environment for training and fine-tuning advanced vision models. Users can build and customize models for object detection (e.g., DETR, YOLOS), image classification, and segmentation (SAM/SAM2). By leveraging Hugging Face Jobs, training is executed on powerful cloud GPUs without requiring local GPU setup, and all resulting models are automatically saved to the Hugging Face Hub.

A comprehensive guide for implementing hardware-level confidential computing using AWS Nitro Enclaves. This process involves creating secure enclave images (EIFs), performing cryptographic attestation validation against the Nitro PKI, and configuring AWS KMS policies. It ensures that sensitive data (like PII or PHI) remains isolated from the parent EC2 instance, guaranteeing security even if the host system is compromised.

Transformers.js allows developers to run state-of-the-art machine learning models directly within JavaScript/TypeScript environments (browser, Node.js). It supports a comprehensive range of tasks including NLP (text generation, summarization, translation), Computer Vision (image classification, object detection), and Audio processing. This capability enables building fully client-side, multimodal AI applications without requiring a dedicated Python backend or server infrastructure.

This guide details how to implement secure, keyless software signing using the Sigstore ecosystem components (Cosign, Fulcio, Rekor). It establishes cryptographic provenance for container images and binaries by binding identity via OIDC, ensuring verifiable integrity and tamper-proofing throughout the CI/CD supply chain.

Accelerates CPU-bound Python workflows by translating NumPy, pandas, ML, graph, image, simulation, and IO code into NVIDIA GPU kernels using CuPy, Numba CUDA, Warp, cuDF/cuML/cuGraph, KvikIO, cuSpatial, and RAFT for dramatic speedups.